
Quantitative Researcher
7 days ago
Company
Celestial Tech Pte Ltd
Designation
Quantitative Researcher
Date Listed
29 Jul 2025
Job Type
Entry Level / Junior Executive, Experienced / Senior Executive
- Part/TempIntern/TS
Job Period
Immediate Start, For At Least 3 Months
Profession
IT / Information Technology
Industry
Computer and IT
Location Name
Eu Tong Sen Street, Clarke Quay Central, Singapore
Address
6 Eu Tong Sen St, Singapore 059817
Map
Allowance / Remuneration
$800 - 1,500 monthly
Company Profile
Celestial Tech s a dynamic IT tech consulting firm committed to helping businesses thrive in the digital era. With a team of experienced IT professionals and technology experts, we provide strategic consulting, customized solutions, and end-to-end support that drive innovation and operational efficiency.
Our mission is to bridge the gap between business needs and cutting-edge technology. Whether you are a startup or an established enterprise, we bring the right tools, knowledge, and insights to accelerate your digital transformation.
**Job Description**:
**Responsibilities**:
- Design, develop, and validate alpha-generating strategies based on historical data
- Analyze the expected value and risk profile of trading ideas under various conditions
- Conduct large-scale simulations to test stop/target logic, position sizing, and execution risk
- Transform discretionary patterns or observed market behavior into rule-based strategies
- Collaborate with data engineering and ML teams to integrate signals and optimize performance
- Monitor live performance and iterate on strategy logic based on real-world feedback
**Requirements**:
- 2-5 years of experience in a quantitative trading, research, or strategy role
- Strong background in statistics, applied mathematics, or a related field
- Proficient in C++, Python (pandas, numpy); SQL or other data query languages a plus
- Experience working with large historical datasets (tick/intraday preferred)
- Familiarity with market microstructure and real-world execution dynamics
- Deep understanding of risk-adjusted performance metrics and strategy evaluation frameworks
Application Instructions
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